A training-free nearest-neighbor detector built on CLIP intermediate features uses a small number of labeled examples from each new generator to classify deepfakes, reporting strong few-shot accuracy across three benchmarks.
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Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection
A training-free nearest-neighbor detector built on CLIP intermediate features uses a small number of labeled examples from each new generator to classify deepfakes, reporting strong few-shot accuracy across three benchmarks.